alexa Fuzzy Clustering For Speaker Identification – MFCC + Neural Network
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Special Issue Article

Fuzzy Clustering For Speaker Identification – MFCC + Neural Network

Angel Mathew1 and Preethy Prince Thachil2
  1. Assistant Professor, Ilahia College of Engineering and Technology, Muvattupuzha, India
  2. M.Tech Student, Ilahia College of Engineering and Technology, Muvattupuzha, India
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Abstract

Speaker identification is a biometric system. In speaker identification the task is to determine the unknown speaker identity by selecting one from the whole population. The key idea is that it uses fuzzy clustering, to partition the original large population into subgroups. Clustering is done based on some features of the speeches. For a speaker under test, first conduct the fuzzy clustering based classification. Then apply MFCC + Neural network identification approach to the selected leaf node to determine the unknown speaker.

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